Associating User-Provided Content Items to Interest Nodes

10. The computer-implemented method of claim 9, wherein the plurality of feature sets of the received content item comprise any two or more of the text feature set, a co-occurrence feature set, a TF/IDF (term frequency/inverse document frequency) feature set, and an embedding feature set.

12. The computer-readable medium of claim 11, wherein determining at least one feature set of the received content item according to aspects of the received content item comprises determining at least one of the text feature set, a co-occurrence feature set, a TF/IDF (term frequency/inverse document frequency) feature set, and an embedding feature set.

17. The computer system of claim 16, wherein the at least one feature set of the received content item comprises at least one of the text feature set, a co-occurrence feature set, a TF/IDF (term frequency/inverse document frequency) feature set, and an embedding feature set.

18. The computer system of claim 16, wherein the computer system is further configured to determine a plurality of feature sets of the received content item according to aspects of the received content item.